{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["52(4)"],"submitter":["Pauthe A"],"funding":["French Society of Radiology","Centre National d'Etudes Spatiales","Société Française de Radiologie"],"pubmed_abstract":["<h4>Background</h4>Deep learning image reconstruction (DLIR) algorithms allow strong noise reduction while preserving noise texture, which may potentially improve hypervascular focal liver lesions.<h4>Purpose</h4>To assess the impact of DLIR on image quality (IQ) and detectability of simulated hypervascular hepatocellular carcinoma (HCC) in fast kV-switching dual-energy CT (DECT).<h4>Methods</h4>An anthropomorphic phantom of a standard patient morphology (body mass index of 23 kg m<sup>-2</sup>) with customized liver, including mimickers of hypervascular lesions in both late arterial phase (AP) and portal venous phase (PVP) enhancement, was scanned on a DECT. Virtual monoenergetic images were reconstructed from raw data at four energy levels (40/50/60/70 keV) using filtered back-projection"],"journal":["Medical physics"],"pagination":["2257-2268"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11972042"],"repository":["biostudies-literature"],"pubmed_title":["Impact of deep learning reconstructions on image quality and liver lesion detectability in dual-energy CT: An anthropomorphic phantom study."],"pmcid":["PMC11972042"],"pubmed_authors":["Campagnolo L","Luciani A","Milliner M","Pauthe A","Mule S","Pasquier H"],"additional_accession":[]},"is_claimable":false,"name":"Impact of deep learning reconstructions on image quality and liver lesion detectability in dual-energy CT: An anthropomorphic phantom study.","description":"<h4>Background</h4>Deep learning image reconstruction (DLIR) algorithms allow strong noise reduction while preserving noise texture, which may potentially improve hypervascular focal liver lesions.<h4>Purpose</h4>To assess the impact of DLIR on image quality (IQ) and detectability of simulated hypervascular hepatocellular carcinoma (HCC) in fast kV-switching dual-energy CT (DECT).<h4>Methods</h4>An anthropomorphic phantom of a standard patient morphology (body mass index of 23 kg m<sup>-2</sup>) with customized liver, including mimickers of hypervascular lesions in both late arterial phase (AP) and portal venous phase (PVP) enhancement, was scanned on a DECT. Virtual monoenergetic images were reconstructed from raw data at four energy levels (40/50/60/70 keV) using filtered back-projection","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Apr","modification":"2025-07-08T03:13:45.173Z","creation":"2025-07-08T03:13:45.173Z"},"accession":"S-EPMC11972042","cross_references":{"pubmed":["39887750"],"doi":["10.1002/mp.17651"]}}